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A COMPLEX NETWORK APPROACH TO AVIATION ACCIDENT ANALYSIS

机译:航空事故分析的复杂网络方法

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摘要

In aviation, even relatively simple tasks comprise numerous human and non-human agents, dispersed geographically and temporally, with emergent properties which are often difficult to predict. As such, aviation can be thought of as a complex system, and analyzing accidents and incidents in this domain requires a complex approach to fully understand the integration of multi-causal, multi-linear and multi-agent accident sequences. The Event Analysis of Systemic Teamwork methodology (EAST; Stanton et al, 2005) offers such an approach, but has not yet been used in accident analysis. In the present paper, EAST is applied to a well known aviation accident case study. Communication between agents in the network is highlighted as a central theme of accident causation and the potential for finding key agents through such network models and sequences is investigated. Ultimately, this work aims to provide a new model which can highlight key factors distinguishing accidents and incidents from normal operations.
机译:在航空中,即使是相对简单的任务,也包含许多人和非人代理,它们在地理和时间上分散分布,并且具有通常难以预测的新兴属性。因此,可以将航空视为一个复杂的系统,分析这一领域的事故和事件需要一种复杂的方法来充分理解多因果,多线性和多主体事故序列的整合。系统团队合作的事件分析方法(EAST; Stanton等,2005)提供了这种方法,但尚未用于事故分析中。在本文中,EAST被应用于一个众所周知的航空事故案例研究。网络中代理之间的通信被突出显示为事故因果关系的中心主题,并且研究了通过此类网络模型和序列查找关键代理的潜力。最终,这项工作旨在提供一个新模型,该模型可以突出显示将事故和事件与正常运营区分开的关键因素。

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